Qualitative changes in the behavior of a neural network may occur when parameters cross critical boundaries. These phase transitions may be triggered either by learning or by the intrinsic dynamics of the network, and must be understood in order to g~tarantee that the behavior of the model will be m
Stability conditions for nonlinear continuous neural networks with asymmetric connection weights
β Scribed by Kiyotoshi Matsuoka
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 471 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0893-6080
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